YOLOv11
PulseAugur coverage of YOLOv11 — every cluster mentioning YOLOv11 across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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UAV computer vision system analyzes cattle feeding patterns
Researchers have developed a computer vision framework using Unmanned Aerial Vehicles (UAVs) to analyze cattle feeding patterns in commercial feedlots. The system employs YOLOv8 and YOLOv11 models for object detection, …
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New network enhances low-light images with adaptive refinement
Researchers have developed CueDR-Net, a novel dual-path network designed to enhance images taken in low-light conditions. This network addresses issues like color deviation and blurred details by combining brightness ad…
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Edge AI system uses YOLOv11 on Raspberry Pi 5 for real-time conveyor belt defect detection
Researchers have developed a real-time defect detection system for conveyor belts using an optimized YOLOv11 nano model deployed on a Raspberry Pi 5 with a Google Coral Edge TPU. This low-power edge AI solution aims to …
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Digital twin generates synthetic data for C-SMC inspection
Researchers have developed a process-informed, photorealistic digital twin to generate synthetic image data for the inline inspection of carbon-fiber Sheet Molding Compound (SMC) strip deposition. This digital twin simu…
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Mamba-based fusion model enhances infrared vehicle detection
Researchers have developed a new Mamba-based model for fusing long-wave infrared polarimetric remote sensing images, aiming to improve vehicle detection. This model effectively integrates infrared intensity and polariza…
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SpermYOLO AI model enhances sperm and impurity detection in microscopy
Researchers have developed SpermYOLO, a new AI model derived from YOLOv11, designed for the precise detection of sperm and impurities in microscopic images. This framework incorporates several architectural enhancements…
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YOLOv11 models achieve high accuracy in automated wound segmentation and classification
Researchers have developed two new instance segmentation models based on the YOLOv11 architecture for automated wound assessment. These models are designed to perform both boundary segmentation and classification across…
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New vision system analyzes intersection safety using post-encroachment time
Researchers have developed a multi-camera computer vision system to enhance road safety by analyzing Post-Encroachment Time (PET) at signalized intersections. This framework, demonstrated at an intersection in Chula Vis…
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New MariSat dataset targets maritime object segmentation in satellite imagery
Researchers have introduced MariSat, a new dataset designed for instance segmentation of maritime objects in satellite and aerial imagery. The dataset comprises 1260 images annotated at the pixel level for eight distinc…
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CF-YOLO improves industrial defect detection with context-aware refinement
Researchers have developed CF-YOLO, a novel real-time detection framework designed to improve the accuracy of identifying small, camouflaged defects in industrial components like copper tubes. The system integrates a Co…
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YOLOv8, v11, v26 benchmarked for small-object detection in orchards
A new research paper benchmarks several generations of Ultralytics YOLO models, including YOLOv8, YOLOv11, and YOLOv26, for the specific task of detecting and segmenting small objects like apple fruitlets in complex orc…
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Deep learning framework identifies dual active galactic nuclei candidates
Researchers have developed a deep-learning framework using the YOLOv11 architecture to identify dual active galactic nuclei (DAGN) from the GOTHIC survey. This model was trained on annotated Sloan Digital Sky Survey (SD…
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AI polyp detection models fail in real-world tests due to dataset bias
A new research paper introduces TRUE-Colon, a benchmarking protocol designed to expose the performance gap between AI models trained on curated medical datasets and their performance in real-world clinical settings. The…
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New framework FLiD enhances forgery detection for digital IDs
Researchers have developed FLiD, a new framework designed to detect localized forgeries in digital identity documents. Unlike general forgery detectors, FLiD specifically targets facial and textual regions within identi…
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LLM-driven system synthesizes custom object detection models
Researchers have developed Cognitive-YOLO, a novel system that leverages large language models (LLMs) and autonomous agents to automatically synthesize object detection model architectures. This system addresses the cha…
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NormalView method achieves 95.5% accuracy in tree species classification using lidar data
Researchers have developed NormalView, a novel deep learning method for classifying tree species using lidar data. This projection-based approach embeds geometric information into 2D projections, which are then fed into…
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Smart eyewear platform ARGO enables on-device ML for obstacle recognition
Researchers have developed ARGO, a smart eyewear platform that enables on-device machine learning for real-time urban obstacle recognition. The system utilizes an STM32N6 microcontroller with an NPU and an optimized YOL…
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Deep Learning framework enhances aircraft detection in satellite imagery
Researchers have developed a new framework for detecting aircraft in satellite imagery by combining image enhancement techniques with a Deep Learning object detection model. The proposed method utilizes a Gabor filter f…
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YOLOv11 model monitors classroom behavior, reveals engagement drop
Researchers have developed a system for monitoring classroom behavior using computer vision, specifically employing the YOLOv11 model. They collected and annotated a new dataset, the BAV-Classroom dataset, from the Bank…
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YOLO models enhance bearing fault detection using CWT spectrograms
Researchers have developed a new vibration sensing framework for bearing fault monitoring that utilizes continuous wavelet transform (CWT) spectrograms and object detection models like YOLOv9, YOLOv10, and YOLOv11. This…